DASCA's eminence as the developer of the world's most definitive credentials for marking excellence in the Big Data profession serves very well all stakeholders – Big Data tech-stables, Big Data professionals, Big Data training outfits, as well as business schools and universities breeding higher–grade professional talents.

Available across 183 countries, DASCA certification exams are built on 5th generation TEI technologies delivered through state-of-the art QTI-PCI aligned test engines by ExamStrong, the world's largest exam-delivery ecosystem specializing in highest-stake certification exams of world's leading 3rd party standards and credentialing bodies.

Partnering DASCA implies building powerful real–time bridges with the state-of-the-art in Data Science thought and practice worldwide, and profiting in business through world-class Big Data standards, certifications, and knowledge networks.

Big Data technology stables, Big Data consulting outfits, IT training companies, leading universities, business schools, higher education institutions, and government ICT academies – all are adding to the rapidly swelling DASCA worldwide network. And if your organization is yet to ally with DASCA, well, then just start the process now! We'll be privileged to have you join in.

Choosing a DASCA Credential

We've got six international certification programs along three credential–tracks for the hottest of Big Data profession today – Big Data Analysts; Big Data Engineers; and Data Scientists. Each of the three tracks have credential programs for junior and senior levels. So, whether you want to grow faster in your current Big Data job, or you are just preparing to enter the Big Data space, DASCA has the world's most powerful qualifications backing you up all the way. Now go ahead and find out which of these six world-class credentials work best for you.

ABDE™ aspirants seek to develop in learners, a strong and complete generic, as well as platform-based understanding of the concepts, principles, tools, and techniques. ABDE™ aspirants are expected to know Big Data and its application, Hadoop technologies and its applications including Pig, Hive, Sqoop, Flume, Yarn, Spark, Scala etc.

Recommended Skills and Experience+

Ideal for you if you are finishing or have completed your Undergraduate Degree in Information Technology/ Computer Science OR Diploma in Computer Programming/ Software Engineering from an accredited institution; You should certainly display a very good basic-level understanding of the fundamentals of programming; logic and database management.

Commonest Job Roles+

Hadoop development and implementation.

Designing, building, and supporting Hadoop applications.

Turn business requirements into conceptual, logical, and physical design for various data types and large volumes.

Hands-on development of code which helps in data injection as well as data analysis.

SBDE™ aspirants seek to develop in learners, a strong and complete generic, as well as platform-based understanding of the concepts, principles, tools, and techniques. SBDE™ aspirants are expected to know Big Data and its application, Hadoop technologies and its applications including Pig, Hive, Sqoop, Flume, Yarn, Spark, Scala etc., Big Data Analytics, and integration with Big Data technologies.

Recommended Skills and Experience+

Should be your choice if you have been working as a programmer or a software engineer for the last two years and you exhibit advanced knowledge of the techniques and tools of programming; database etc. Of course, you will also have to hold at least an Undergraduate Degree in Information Technology/ Computer Science OR Diploma in Computer Programming/ Software Engineering from an accredited institution.

Commonest Job Roles+

Hadoop development and implementation.

Designing, building, and supporting Hadoop applications.

Turn business requirements into conceptual, logical, and physical design for various data types and large volumes.

Hands-on development of code which helps in data injection as well as data analysis.

ABDA™ aspirants seek to develop in learners, a strong and complete generic, as well as platform–based understanding of the concepts, principles, tools, techniques, and technologies of designing, developing, and applying analytics frameworks and utilities required for sharper information management and decision making. ABDA™ aspirants are expected to know Big Data and its application, Analytics and its application, R & it's implementation, Mobile Analytics, Statistical Analysis tools, techniques, and methodologies etc.

Recommended Skills and Experience+

This is an ideal certification for you if you are finishing, or have just finished your Undergraduate/ Bachelor's Degree in Information Technology/ Computer Science/ Undergraduate Degree in Business/ Management/ Statistics/ Economics/ Mathematics OR Diploma in Computer Programming or Software Engineering OR Diploma in Business/ Management from an accredited institution. Indeed, you are expected to be very confident about your basic-level understanding of the principles and tools of Statistics and should love problem-solving using numbers and analysis.

SBDA™ works strong for individuals who are in the analytics and research space for 2 years or more, and hence show excellent skills on solving problems using Statistics and Quantitative methods; knowledge of RDBMS and Spreadsheets; awareness about Big Data uses in decision-making. This is an ideal certification for you if you are finishing, or have just finished your Undergraduate/ Bachelor's Degree in Information Technology; Computer Science OR Undergraduate Degree in Business/ Management/ Statistics/ Economics/ Mathematics OR Diploma in Computer Programming/ Software Engineering OR Diploma in Business/ Management from an accredited institution.

SDS™ aspirants seek to develop in learners, a strong and complete generic, as well as platform–based understanding of the concepts, principles, tools, techniques, and technologies of designing, developing, and applying analytics frameworks and utilities required for sharper information management and decision making. SDS™ aspirants are expected to know advanced knowledge of Statistical Analysis tools, techniques, and methodologies; exposure to different big SDS™ & analytics language and platforms. SDS™ aspirants should source and analyze data from various angles with different business insights, determine what it indicates, and recommend ways to apply the data.

Recommended Skills and Experience+

If you're a seasoned campaigner with 5 years plus of exposure in leading Big Data analytics or science function, you are fit for the Data Scientist Credential. You will be required to have at least an Undergraduate/ Bachelor's Degree in Information Technology/ Computer Science OR Undergraduate/ Bachelor's Degree in Business/ Management/ Statistics/ Economics/ Mathematics OR Diploma in Computer Programming/ Software Engineering OR Diploma in Business/ Management from an accredited institution. In the SDS™ program, you will thrive if you already possess Advanced-level knowledge and skills of statistical analysis techniques and tools; exposure to analytics platforms like SPSS/ SAS; a good exposure to R; quantitative methods; fundamentals of object oriented programming and RDBMS, and yes, also the confidence of having worked on popular/ common Big Data programming and analytics platforms and technologies.

Commonest Job Roles+

Develop and plan required analytic projects in response to business needs.

In conjunction with data owners and department managers, contribute to the development of data models and protocols for mining production databases.

PDS™ aspirants seek to develop in learners, a strong and complete generic, as well as platform–based understanding of the concepts, principles, tools, techniques, and technologies of designing, developing, and applying analytics frameworks and utilities required for sharper information management and decision making. PDS™ aspirants should have proven skills in conceptualizing, designing, and executing Big Data strategies; accomplished in advanced use of R and other Statistical Analysis techniques & methodologies, tools and analytics platforms/ applications for Big Data management on popular/ common Big Data platforms; good practical exposure to object oriented programming and RDBMS. PDS™ aspirants should source and analyze data from various angles with different business insights, determine what it indicates and recommend ways to apply the data.

Recommended Skills and Experience+

This is a perfect credential for you if you sport a Graduate/ Master's Degree in Information Technology/ Computer Science, and Data Sciences/ Machine Learning OR Graduate/ Master's Degree in Business/ Management/ Statistics/ Economics/ Mathematics, and have a series of professional accomplishments to show in you over a decade or more of Big Data management experiences. Indeed, you will be expected to have proven skills in conceptualizing, designing, and executing Big Data strategies; accomplished in advanced use of R and other Statistical Analysis techniques, tools, and analytics platforms/ applications for Big Data management on popular/ common Big Data platforms; good practical exposure to object oriented programming and RDBMS.

Commonest Job Roles+

Develop and plan required analytic projects in response to business needs.

In conjunction with data owners and department managers, contribute to the development of data models and protocols for mining production databases.

The Data Science Council of America (DASCA) is an independent, third–party, international credentialing and certification organization for Big Data and Data Science professionals, and has no interests whatsoever, vested in the development, marketing or promotion of any platform, technology, or tool related to Data Science applications. DASCA validates capabilities and potential of individuals for excelling in critical Data Science professions including Big Data Analytics and Big Data Engineering. DASCA advented the world's first and the most powerful exercise ever to aggregate, assess, validate, refine, classify, optimize, standardize, and model the generics of professional knowledge prerequisites for designers, managers, developers, and technologists working in the Data Science space. DASCA certification programs for aspiring and working Big Data and Data Science professionals are fleshed on the world's first vendor–neutral standards – the five–pronged DASCA Essential Knowledge Framework (EKF™), which is a constantly evolving concept, and hence does not purport to be complete or absolutely perfect at any point in time. Though, the EKF™ and all DASCA certifications constantly aim at assisting professionals in exceling consistently in their jobs, there are no specific guarantees of success or profit for any user of these concepts, products or services. DASCA and/or its partner institutions reserve the rights to cancel, modify and revise timetables, schedules, calendars, fee-structure, course-modules, assessment and delivery structures of any program, either offered independently by DASCA or jointly with partner institutions, without prior notice to prospective and registered program participants. DASCA and its collaborating institutions reserve the rights of admission or acceptance of applicants into certification and executive education programs offered by them. DASCA & DASCA Partner organizations do not discriminate against any person on the basis of race, color, sex or sexual orientation, gender identity, religion, age, national or ethnic origin, political beliefs, veteran status, or disability in admission to, access to, treatment in, or employment in their programs and activities.

All DASCA business, knowledge, operations and backend processes related to the management of customer relationships, customer-support, credentialing logistics, partner-network, and invoicing are exclusively handled by the globally distributed offices of CredForce, the worldwide credentialing services leader. DASCA can remove or replace at any point in time, any of its vendors, associates or partners found underperforming, or engaged in unethical business practices to preserve the interests of its customers and maintain the standards of its services to the highest of levels as expected. CredForce has no role to play in certification award decisions of the Data Science Council of America. Individuals or organizations deciding to deal with or do business with DASCA are assumed to have read and agreed to these facts pertaining to DASCA services, practices and policies. All queries may be directed to info@dasca.org